Agent-based model of land system: Theory, application and modelling framework
文献类型：期刊论文
| 作者 | Dai Erfu1,3; Ma Liang1,3; Yang Weishi2,4; Wang Yahui1,3; Yin Le3,4; Tong Miao1,3 |
| 刊名 | JOURNAL OF GEOGRAPHICAL SCIENCES
 |
| 出版日期 | 2020-10-01 |
| 卷号 | 30期号:10页码:1555-1570 |
| 关键词 | land system land use land change science land change model agent-based model modeling framework |
| ISSN号 | 1009-637X |
| DOI | 10.1007/s11442-020-1799-3 |
| 通讯作者 | Dai Erfu(daief@igsnrr.ac.cn) |
| 英文摘要 | Land change science has become an interdisciplinary research direction for understanding human-natural coupling systems. As a process-oriented modelling approach, agent based model (ABM) plays an important role in revealing the driving forces of land change and understanding the process of land change. This paper starts from three aspects: The theory, application and modeling framework of ABM. First, we summarize the theoretical basis of ABM and introduce some related concepts. Then we expound the application and development of ABM in both urban land systems and agricultural land systems, and further introduce the case study of a model on Grain for Green Program in Hengduan Mountainous region, China. On the basis of combing the ABM modeling protocol, we propose the land system ABM modeling framework and process from the perspective of agents. In terms of urban land use, ABM research initially focused on the study of urban expansion based on landscape, then expanded to issues like urban residential separation, planning and zoning, ecological functions, etc. In terms of agricultural land use, ABM application presents more diverse and individualized features. Research topics include farmers' behavior, farmers' decision-making, planting systems, agricultural policy, etc. Compared to traditional models, ABM is more complex and difficult to generalize beyond specific context since it relies on local knowledge and data. However, due to its unique bottom-up model structure, ABM has an indispensable role in exploring the driving forces of land change and also the impact of human behavior on the environment. |
| WOS关键词 | COUPLED HUMAN ; SUSTAINABLE DEVELOPMENT ; MULTIAGENT SYSTEMS ; ECOSYSTEM SERVICES ; COVER CHANGE ; SIMULATION ; MARKET ; DECISIONS ; DYNAMICS ; SCIENCE |
| 资助项目 | National Natural Science Foundation of China[41571098] ; National Natural Science Foundation of China[41530749] ; National Key R&D Program of China[2017YFC1502903] ; National Key R&D Program of China[2018YFC1508805] |
| WOS研究方向 | Physical Geography |
| 语种 | 英语 |
| WOS记录号 | WOS:000605211800001 |
| 出版者 | SCIENCE PRESS |
| 资助机构 | National Natural Science Foundation of China ; National Key R&D Program of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/136618]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Dai Erfu |
| 作者单位 | 1.Chinese Acad Sci, Key Lab Ecosyst Network Observat & Modeling, Inst Geog Sci & Nat Resources Res, Lhasa Plateau Ecosyst Res Stn, Beijing 100101, Peoples R China 2.Sun Yat Sen Univ, Sch Geog & Planning, Guangzhou 510275, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 4.Chinese Acad Sci, Key Lab Land Surface Pattern & Simulat, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Dai Erfu,Ma Liang,Yang Weishi,et al. Agent-based model of land system: Theory, application and modelling framework[J]. JOURNAL OF GEOGRAPHICAL SCIENCES,2020,30(10):1555-1570. |
| APA | Dai Erfu,Ma Liang,Yang Weishi,Wang Yahui,Yin Le,&Tong Miao.(2020).Agent-based model of land system: Theory, application and modelling framework.JOURNAL OF GEOGRAPHICAL SCIENCES,30(10),1555-1570. |
| MLA | Dai Erfu,et al."Agent-based model of land system: Theory, application and modelling framework".JOURNAL OF GEOGRAPHICAL SCIENCES 30.10(2020):1555-1570. |
入库方式： OAI收割
来源：地理科学与资源研究所
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